The results on Tensormask [1]} are shown in Table REF . Since the objectives of Tensormask consist of detection loss and mask loss, synthesized images are used to compute detection loss whereas real images are used to compute mask loss. The trend is similar to RetinaNet where AP slightly decreases whereas AR improves significantly. The empirical results of RetinaNet and Tensormask indicate the usefulness of our framework for one-stage detectors.
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